Evidence map›Paper›PMID 30590678›Full record

ArticleJournal of experimental botany2019

High-throughput sequencing data and the impact of plant gene annotation quality.

Aleksia Vaattovaara, Johanna Leppälä, Jarkko Salojärvi, Michael Wrzaczek

Abstract read
In one paragraph

Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. High-qualityFrontiers in plant science · 2023
    Article
  4. Article
  5. CarrotOmics: a genetics and comparative genomics database for carrot (Daucus carota).Database : the journal of biological databases and curation · 2022
    Article
  6. Evaluating Plant Gene Models Using Machine Learning.Plants (Basel, Switzerland) · 2022
    Article
  7. Green plant genomes: What we know in an era of rapidly expanding opportunities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Aleksia VaattovaaraOrganismal and Evolutionary Biology Research Programme, Viikki Plant Science Centre, VIPS, Faculty of Biological and Environmental Sciences, University of Helsinki, Viikinkaari 1 (POB65), Helsinki, Finland.
Johanna LeppäläDepartment of Ecology and Environmental Science, Umeå University, Linnaeus väg 6, Umeå, Sweden.
Jarkko SalojärviOrganismal and Evolutionary Biology Research Programme, Viikki Plant Science Centre, VIPS, Faculty of Biological and Environmental Sciences, University of Helsinki, Viikinkaari 1 (POB65), Helsinki, Finland.
Michael WrzaczekOrganismal and Evolutionary Biology Research Programme, Viikki Plant Science Centre, VIPS, Faculty of Biological and Environmental Sciences, University of Helsinki, Viikinkaari 1 (POB65), Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of draft genomes of different species and re-sequencing of accessions and populations are now common tools for plant biology research. The de novo assembled draft genomes make it possible to identify pivotal divergence points in the plant lineage and provide an opportunity to investigate the genomic basis and timing of biological innovations by inferring orthologs between species. Furthermore, re-sequencing facilitates the mapping and subsequent molecular characterization of causative loci for traits, such as those for plant stress tolerance and development. In both cases high-quality gene annotation-the identification of protein-coding regions, gene promoters, and 5'- and 3'-untranslated regions-is critical for investigation of gene function. Annotations are constantly improving but automated gene annotations still require manual curation and experimental validation. This is particularly important for genes with large introns, genes located in regions rich with transposable elements or repeats, large gene families, and segmentally duplicated genes. In this opinion paper, we highlight the impact of annotation quality on evolutionary analyses, genome-wide association studies, and the identification of orthologous genes in plants. Furthermore, we predict that incorporating accurate information from manual curation into databases will dramatically improve the performance of automated gene predictors.

Indexed as

Evolution, MolecularGenes, PlantGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationPlantsGene familiesgenome annotationGWAShigh-throughput sequencingphylogenytranslational research

Identifiers

PMID30590678
PMCPMC6382340

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.